Title :

Neurons with dendrites can perform linearly separable computations with low resolution synaptic weights

Author(s) :

Caze, Romain [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Stimberg, Marcel [Auteur]
Institut de la Vision

Journal title :

F1000Research

Pages :

1174

Publisher :

Faculty of 1000

Publication date :

2021-01-20

ISSN :

2046-1402

English keyword(s) :

Dendrites
computation
linearly separable
implementation

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

In theory, neurons modelled as single layer perceptrons can implement all linearly separable computations. In practice, however, these computations may require arbitrarily precise synaptic weights. This is a strong constraint ...
Show more >In theory, neurons modelled as single layer perceptrons can implement all linearly separable computations. In practice, however, these computations may require arbitrarily precise synaptic weights. This is a strong constraint since both biological neurons and their artificial counterparts have to cope with limited precision. Here, we explore how non-linear processing in dendrites helps overcome this constraint. We start by finding a class of computations which requires increasing precision with the number of inputs in a perceptron and show that it can be implemented without this constraint in a neuron with sub-linear dendritic subunits. Then, we complement this analytical study by a simulation of a biophysical neuron model with two passive dendrites and a soma, and show that it can implement this computation. This work demonstrates a new role of dendrites in neural computation: by distributing the computation across independent subunits, the same computation can be performed more efficiently with less precise tuning of the synaptic weights. This work not only offers new insight into the importance of dendrites for biological neurons, but also paves the way for new, more efficient architectures of artificial neuromorphic chips.Show less >

Language :

Anglais

Popular science :

Non

ANR Project :

DES SENS POUR TOUTE LA VIE
Enabling Vision Restoration

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL